... protected while promising buried memories get another chance Review outdated memories The may be out of date indicator now opens a proper review queue showing exactly which memories need attention. From the queue, you can edit, append to, or forget a memory. Completed actions remove it from the list immediately, and deprecated memories are no longer included in the count. Cleaner email and calendar capture Second Brain now removes more machine-generated clutter before it reaches recall: Email footers ... ... entirely from assistant-generated notes are filtered out Recent conclusions are checked to prevent near-duplicates Review cards show the source memories behind each insight Confirmed insights remain available for future duplicate detection Fixes and polish Edit, append, and forget

... next task. It runs locally, with no hosted account or telemetry. It s currently at v0.4.0-alpha, and I m looking for honest tests more than polite applause. If you work with AI coding agents, what project context do they forget most often? Rta-Smriti Brain: https://www.producthunt.com/prod... ...

... year. It can increase your chances of having a successful relaunch later. What does that mean? Update the visuals and copy on your Product Hunt page Ask people to follow your product page throughout the year Don t forget that your product page also has a review section ask people to contribute there, too Participate in discussions under your launched product the page also displays threads from the community And let s not forget

... kept forgetting DSA patterns between interview cycles, but opening a laptop for a full coding session was too much friction. I built AlgoBite as a smaller review loop: reconstruct a real Python solution from scrambled chunks, run browser tests, then let spaced repetition bring it back before you forget

... tried something radical: a 30-day memory window. After 30 days, raw journal entries get summarized into anonymous emotional patterns, then the original text is deleted. Users can pin specific entries to keep them but the default is forgetting. The team thought I was crazy. "You're throwing away our best training data." What happened: Average entry length increased 3x - Users mentioned specific people by name 5x more often - 30-day retention went from 23% to 41% The lesson ... ... changes user behavior is really bold. The insight that "permanent memory quietly kills honesty" is exactly why so many AI journaling and therapy tools plateau. People filter themselves the moment they think something will be remembered forever. Deliberate forgetting

... Sanchez(@norteapp): What I use everyday: Claude, Figma, Perplexity to search the web for me differently, and Gmail. The tool we should never forget to use: Our brain. For judging, taste, reasoning harder than any AI could do. Comment from Jan Riis S rensen(@jan_riis_sorensen): @busmark_w_nika  Well it started out as an alternative

... When someone journals on Murror, our AI doesn't just process text. It reads emotional weight. It picks up on patterns the user might not see yet -- the way their language shifts when they talk about work versus family, the recurring themes they circle back to every few weeks, the gradual change in tone that might signal something deeper. We built this because it makes the product better. The AI can ask more relevant questions, create more meaningful reflections ... ... know when to give space versus

... Product Hunt. I'm Daan, a developer from Rotterdam. I kept lending out books and forgetting who had them. Asking felt awkward. So I built something. Folio is a book tracker with a lending log. You can see what you're reading, track your progress, and always know which friend still has your copy with a WhatsApp nudge when you want it back. Still early. Would love feedback from people who actually read a lot. What's missing? What doesn ...

... Long chats break when the model forgets what you said ten turns ago. Oasis uses optional  structured session memory  (internal nickname  Railroad ) to help follow-ups stay coherent. Insight for other users:   Session memory  extracts  structured facts across turns  and  re-injects  them into later prompts so the assistant can remember details  within your session and plan limits . You do not edit memory by hand. It updates as you chat ... ... distilled text  used to steer replies, not a copy of everything you browsed. How to work with it: Keep chatting in the same thread for continuity. If your build exposes a control, ask the assistant to  forget

... trying to use AI tools to build my projects: 1. **Cloud Lock-in & Costs**: Constantly paying subscription fees for cloud-based AI tools where I don t own the execution flow. 2. **Context Fragmentation**: Dispatched AI agents frequently "forget" the broader roadmap context or what they did in the previous step. 3. **Data Privacy**: Reluctance to upload proprietary codebase directories or idea drafts to external databases. That s why I built SoloMap: a **local-first AI roadmap and agent ... ... task coordinator** that lives entirely inside VS

... everyone. I got tired of losing code to rogue AI agents and forgetting manual Git commits during rapid iterations. Git is great for milestones, but it fails as a real-time safety net. So, I built LocalHub . It s a 100% local, background version control system that runs inside VS

... your own diversity of thought. When you outsource synthesis to an LLM, your brain never has to do anything with the information. Storage without synthesis isn't learning. It s just doomscrolling in a suit [Prompt]. The Physics of ForgettingForgetting is the universal pain point. It happens because information enters your brain passively and leaves the same way. Your "Read-it-Later" app is a graveyard , not a library. If you want to actually keep what you read ... ... asks: "What do you think?". You have to write your reaction even just one sentence. That is the toll. By forcing you to articulate a perspective, you aren't just storing text; you are encoding memory. You don t

... know that moment when you think "I need to remember this" but opening a reminder app, tapping through date pickers, and saving it takes longer than the thought itself? Yeah. I built something for that mostly because I keep forgetting everything myself. I even forgot to use the reminder apps I already had. Just open Telegram and type or send a voice message: - "remind me tomorrow at 9 go to shop" That's it. It figures out the time, sets ...

... everyone! As a long-time web novel addict, I ve always struggled with two things: intrusive ads and forgetting complex character relationships in 2000+ chapter epics. So, I built AIReader . It s a clean, ad-free mobile reader, but with some "magic" built in: AI Plot Summaries: It automatically summarizes the context so you can pick up exactly where you left off. Dynamic Character Wiki: It extracts characters and their latest status as you read, creating a living database ...

... thought we knew We assumed enterprise customers wanted the same things as our small business users, just more of it. More security. More control. More features. We never talked to them. We read blog posts. We looked at competitor pricing pages. We guessed. Here's what we missed: Procurement cycles. Enterprise deals take 6-12 months. We had 30-day sales cycles. We weren't built for that. Security reviews. We needed SOC2. We didn't have it. Customers asked ... ... care about SSO or audit logs they cared that we sat with their team for two weeks understanding their workflows before writing a single line of custom code. Your data table showing SSO (4 requests, 2 actual users) vs

... Today, I am dropping BrainLoom v1.0.6: The Analytics Engine. I have completely overhauled the 'Review' tab to give you absolute, data-driven visibility into your own brain. We added 14 new charts, but here are the heavy hitters: The Forgetting Curve & Retention Forecast: The app now mathematically predicts your memory decay. You can see exactly what percentage of your knowledge you will retain next week, and exactly when you need to review it. Optimal Study Time: Stop fighting your ... ... biology. BrainLoom tracks your pass rates across the day and tells you exactly what hour your brain absorbs information best (e.g., 6:00 PM vs

... spaced repetition apps are designed by power users for power users. They've lost sight of the actual goal: remembering things. MemoRep is different. It was built on one insight: simplicity beats complexity every time. The Problem: Feature Creep vs. Memory Retention Take a step back. Why do you want to use spaced repetition? To remember languages To retain programming concepts To master music theory To ace exams To keep professional skills sharp What's common to all these goals ... ... Your job: create cards consistently, answer them honestly. The algorithm's job: schedule them optimally. The Bigger Picture: Learning Friction Here's what nobody tells you about learning: It's not about intelligence. It's about systems. Smart people forget

... Product Hunt! I'm Pavel solo iOS developer from Belarus. Think about this for a second. Students spend months preparing for exams then forget 80% of the material two weeks later. Developers learn React, TypeScript, Docker, AWS but only use two of them on their current project. Language learners grind Duolingo every day then can't hold a basic conversation after a month off. We're all learning constantly. But nobody tracks what's quietly disappearing. There's actual science ... ... behind this: the Ebbinghaus forgetting

... Minute Audit Step 1: Keyword Selection (5 minutes) Choose 20 keywords to audit: 10 branded keywords: Your company name Your product names Your founder/CEO name Your flagship features 10 non-branded keywords: "[Your category] best tools" "[Your category] alternatives" "How to [solve problem you solve]" "[Your category] vs

... plays a significant role in how products appear in Google search results. What surprised us was that AI assistants like ChatGPT were rarely citing Product Hunt in product recommendations. AI assistants such as ChatGPT and Gemini rely on reviews, alternative lists, and structured product information gathered across the web. Product Hunt is strong across all three. In theory, this should make Product Hunt a natural source for AI-driven product recommendations and comparisons. In practice, it was not happening ... ... many tools which systematically run prompts against several AI models daily, and measure visibility of a product within prompts. We're using a new tool called @Gauge . We chose because a) their citation tracking is more useful than the alternatives

... This isn t advanced hacking. It s basic fingerprinting and it s how attackers decide whether you re worth attacking at all. Exposing server versions turns vulnerability scanning into shopping with a checklist: tech, version, CVE, automate. Teams forget this because it s boring, not because it s hard. No alerts. No crashes. Just a quiet little header waiting for the wrong person to notice. I added this check to Rentgen because people don t forget

... read 100 articles and still forget the words you looked up yesterday. Why? Because passive exposure doesn't create retention. Active recall does. That's the difference between seeing a word and owning it. @WordFlippin uses spaced repetition to make sure the words you learn actually stick. No manual flashcard creation. No forgetting

... Decay , a feature that makes AI memory behave more like human memory. Frequently used memories stay strong. Unused ones naturally fade. The result is more relevant, contextual AI interactions. How It Works Memory Decay is modeled after the Ebbinghaus forgetting curve from cognitive psychology. Memories naturally decay over time unless reinforced through recall exactly how your brain prioritizes what matters. Confidence Scoring When the AI extracts a memory, it assigns a certainty level. "User is vegetarian" (explicit statement) ranks higher ...

... Most AI products eventually hit the same problem They forget who the user is and the experience feels generic again. We ve been working on @Mnexium AI , a simple memory layer for AI apps that: remembers users across sessions recalls relevant context automatically keeps conversation history lean (rolling summaries) creates structured user profiles over time No vector DB setup, no custom retrieval logic it plugs into your existing LLM flow. mnx: { learn: true, // extract & store memories recall: true, // inject ...

... learned this the hard way after forgetting 90% of the words I spent months studying. Here's the thing: your brain doesn't store information just because you've seen it. Highlighting words, writing them down once, even using them in a sentence - none of that guarantees retention. What actually works is active recall at specific intervals. It's called spaced repetition , and it's backed by decades of cognitive science. The problem? Doing it manually is tedious. Creating flashcards ... ... tracking review schedules, organizing decks... most people give up before they see results. I wrote about why we forget